Yuhui Wu, Chen Pan, Guoqing Wang, Yang Yang, Jiwei Wei, Chongyi Li, Heng Tao Shen (Corresponding Author)
University of Electronic Science and Technology of China (UESTC)
This repository is the official implementation of the paper, "Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement", where more implementation details are presented.
You can refer to the following links to download the datasets:
LOL: Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu. "Deep Retinex Decomposition for Low-Light Enhancement", BMVC, 2018. [Baiduyun (extracted code: sdd0)] [Google Drive]
LOL-v2 (the extension work): Wenhan Yang, Haofeng Huang, Wenjing Wang, Shiqi Wang, and Jiaying Liu. "Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement", TIP, 2021. [Baiduyun (extracted code: l9xm)] [Google Drive]
The evauluation results on LOL are as follows:
Method | PSNR | SSIM | LPIPS | Method | PSNR | SSIM | LPIPS |
---|---|---|---|---|---|---|---|
RetinexNet | 16.770 | 0.462 | 0.474 | HWMNet | 24.240 | 0.852 | 0.114 |
RetinexNet-SKF | 20.418 | 0.711 | 0.216 | HWMNet-SKF | 25.086 | 0.860 | 0.108 |
KinD | 20.870 | 0.799 | 0.207 | SNR-LLIE-Net | 24.608 | 0.840 | 0.151 |
KinD-SKF | 21.913 | 0.835 | 0.143 | SNR-LLIE-Net-SKF | 25.031 | 0.855 | 0.113 |
DRBN | 19.860 | 0.834 | 0.155 | LLFlow-S | 24.060 | 0.860 | 0.136 |
DRBN-SKF | 22.837 | 0.841 | 0.138 | LLFlow-S-SKF | 25.942 | 0.865 | 0.125 |
KinD++ | 18.970 | 0.804 | 0.175 | LLFlow-L | 24.999 | 0.870 | 0.117 |
KinD++-SKF | 20.363 | 0.805 | 0.201 | LLFlow-L-SKF | 26.798 | 0.879 | 0.105 |
More details can be found in the subfolder of each baseline.
If you find our work useful for your research, please cite our paper
@inproceedings{wu2023skf,
title={Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement},
author={Yuhui, Wu and Chen, Pan and Guoqing, Wang and Yang, Yang and Jiwei, Wei and Chongyi, Li and Heng Tao Shen},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={},
year={2023}
}
If you have any question, please feel free to contact us via wuyuhui132@gmail.com or panchen0103@gmail.com.